Hongjoon Ahn

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Additive White Gaussian Noise

Incremental Learning

Adaptive Regularization

Channel Estimation

Top Venues

Publications

Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning. CoRR (2024)
Taeeon Park, Jihwan Kwak, Hongjoon Ahn, Jinwoong Lee, Jaehyuk Lim, Sangho Yu, Changhwan Shin, Taesup Moon
GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET. IEEE Access 10 (2022)
Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P. Wipf
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. NeurIPS (2022)
Hongjoon Ahn, Yongyi Yang, Quan Gan, David Wipf, Taesup Moon
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. CoRR (2022)
Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, Taesup Moon
SS-IL: Separated Softmax for Incremental Learning. ICCV (2021)
Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. NeurIPS (2020)
Hongjoon Ahn, Taesup Moon
A Simple Class Decision Balancing for Incremental Learning. CoRR (2020)
Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
Adaptive Group Sparse Regularization for Continual Learning. CoRR (2020)
Hongjoon Ahn, Taesup Moon
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty. UAI (2020)
Hongjoon Ahn, Taesup Moon
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty. CoRR (2019)
Hongjoon Ahn, Donggyu Lee, Sungmin Cha, Taesup Moon
Uncertainty-based Continual Learning with Adaptive Regularization. CoRR (2019)
Hongjoon Ahn, Sungmin Cha, Donggyu Lee, Taesup Moon
Uncertainty-based Continual Learning with Adaptive Regularization. NeurIPS (2019)